Joshua Patterson is the Director of Applied Solutions Engineering at NVIDIA and a former White House Presidential Innovation Fellow. Prior to NVIDIA, Josh worked with leading experts across public sector, private sector, and academia to build a next generation cyber defense platform. His current passions are graph analytics, machine learning, and GPU data acceleration. Josh also loves storytelling with data, and creating interactive data visualizations. Josh holds a B.A. in economics from the University of North Carolina at Chapel Hill and an M.A. in economics from the University of South Carolina Moore School of Business.

Dr. Andrew Davis is a machine learning researcher specializing in the application of deep neural networks to cybersecurity. At Cylance Andrew guides the research and development of models designed for malware analysis. Prior to working at Cylance, Andrew worked at Oak Ridge National Laboratory, where he applied computer vision and machine learning methods to defense as well as neuroscience research. In addition to his work at ORNL, he worked with a small machine learning startup, applying algorithms in the space of speaker recognition, vehicle fault prediction, and financial modelling. Andrew received his PhD in Computer engineering from the University of Tennessee, Knoxville.

Dr. Eli David is one of the leading global experts in the field of computational intelligence, specializing in deep learning (neural networks) and evolutionary computation. He has published more than thirty papers in leading artificial intelligence journals and conferences, mostly focusing on applications of deep learning and genetic algorithms in various real-world domains. For the past ten years, he has been teaching courses on deep learning and evolutionary computation at Bar-Ilan University, in addition to supervising the research of graduate students in these fields. Dr. David has also served in numerous capacities successfully designing, implementing, and leading deep learning based projects in real-world environments.

Dr. David is the developer of Falcon, a grandmaster-level chess playing program, which automatically learns by processing datasets of chess games. The program reached the second place in World Computer Speed Chess Championship 2008 relying solely on machine learning for its performance. Dr. David received the Best Paper Award in 2008 Genetic and Evolutionary Computation Conference, the Gold Award in the prestigious "Humies" Awards for Human-Competitive Results in 2014, and recently the Best Paper Award in 2016 International Conference on Artificial Neural Networks.

John Whaley is Founder and CEO of UnifyID. He was previously Founder and CTO of Moka5, and was a Visiting Lecturer in Computer Science at Stanford. He is an expert in computer security and has spoken at numerous conferences and industry events. He holds a doctorate in computer science from Stanford University, where he made key contributions to the fields of program analysis, compilers, and virtual machines. He is the winner of numerous awards including the Arthur L. Samuel Thesis Award for Best Thesis at Stanford, and has worked at IBM’s T.J. Watson Research Center and Tokyo Research Lab. John was named one of the top 15 programmers in the USA Computing Olympiad. He also holds bachelor’s and master’s degrees in computer science from MIT.